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What is Sparse Coding

Encyclopedia of Information Science and Technology, Third Edition
A class of unsupervised methods for learning sets of over-completed bases to represent data efficiently. Given a potentially large set of input patterns, sparse coding algorithms attempt to automatically find a small number of representative patterns which, when combined in the right proportions, reproduce the original input patterns. The sparse coding for the input then consists of those representative patterns.
Published in Chapter:
Machine Learning for Image Classification
Yu-Jin Zhang (Department of Electronic Engineering, Tsinghua University, China)
Copyright: © 2015 |Pages: 12
DOI: 10.4018/978-1-4666-5888-2.ch021
Full Text Chapter Download: US $37.50 Add to Cart
More Results
Image Inpainting as an Evolving Topic in Image Engineering
A class of unsupervised methods for learning sets of over-completed bases to represent data efficiently. Given a potentially large set of input patterns, sparse coding algorithms attempt to automatically find a small number of representative patterns which, when combined in the right proportions, reproduce the original input patterns. The sparse coding for the input then consists of those representative patterns.
Full Text Chapter Download: US $37.50 Add to Cart
A Novel Approach of K-SVD-Based Algorithm for Image Denoising
Sparse coding is modeling data vectors into sparse linear combinations of basis elements.
Full Text Chapter Download: US $37.50 Add to Cart
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